+ iJ>Rt^RIt^RIHtHtHt^RIHtHtRt Rt Rt Rt Rt ^t^ t^t^#t^tRR ltR,R R lltR R ltR-RRlltRRltRRltRRltRRltRRltRRltRRltRRltR R!ltR"R#lt R$R%lt!R&R'lt"R(R)lt#R*R+lt$R#).z.Popularity-aware scoring for last30days skill.N)ListOptionalUnion)datesschema??333333?皙?cFV^8dQhR\\,R\/#)xreturn)rintfloat)formats"Q/Users/bowang/.openclaw/workspace/skills/last30days-official/scripts/lib/score.py __annotate__rs(3-EcHVeV^8dR#\P!V4#)z1Safe log1p that handles None and negative values.g)mathlog1p)r s&r log1p_safersyAE ::a=rcV^8dQhR\\P,R\\,R\\,/#)r engagementtop_comment_scorer)rr Engagementrr)rs"rrr"s>JJ**+J}Je_JrcTVfR#VPfVPfR#\VP4p\VP4pVP;'gR^ ,p\V4pRV,RV,,RV,,RV,,#)u:Compute raw engagement score for Reddit item. Formula: 0.50*log1p(score) + 0.35*log1p(num_comments) + 0.05*(upvote_ratio*10) + 0.10*log1p(top_comment_score) The 10% comment quality weight rewards posts where the community engaged deeply — a highly upvoted top comment means the thread sparked real discussion. N?ffffff?皙?g?)score num_commentsr upvote_ratio)rrr!commentsratiotop_cmts&& rcompute_reddit_engagement_rawr'"sJ$;$;$C z'' (E*112H  $ $ + +r 1E*+G %<$/ )D5L 84'> IIrcpV^8dQhR\\P,R\\,/#r rrrrrr)rs"rrr;s.JJ&2C2C)DJRWJrcXVfR#VPfVPfR#\VP4p\VP4p\VP4p\VP4pRV,RV,,RV,,RV,,#)zCompute raw engagement score for X item. Formula: 0.55*log1p(likes) + 0.25*log1p(reposts) + 0.15*log1p(replies) + 0.05*log1p(quotes) Nr r333333?r )likesrepostsrrepliesquotes)rr-r.r/r0s& rcompute_x_engagement_rawr1;s J$6$6$> z'' (E++,G++,G  )) *F %<$. (4'> 9D6M IIrchV^8dQhR\\,R\R\\,/#)r valuesdefaultr)rr)rs"rrrNs)T%[5$u+rcVUu.uF q"fKVNK ppV'gVUu.uF q"fTM^2NK up#\V4p\V4pWT, pV^8XdVUu.uF q"f^2M^2NK up#.pVFApVfVPR4KW$, V, ^d,pVPV4KC V#uupiuupiuupi)zNormalize a list of values to 0-100 scale. Args: values: Raw values (None values are preserved) default: Default value for None entries Returns: Normalized values N)minmaxappend) r3r4vvalidmin_valmax_val range_valresult normalizeds && rnormalize_to_100r@Ns 01QQE 0 6<=f9",f==%jG%jG!IA~178AiR'88 F  9 MM$ ;)3s:J MM* %  M' 1=9sB=B=CCcV^8dQhR\\P,R\\P,/#r itemsr)rr RedditItem)rs"rrros0>>d6#4#45>$v?P?P:Q>rc XV'gV#.pVFYpRpVP'dVP^,PpVP\VPV44K[ \ V4p\ V4EF#wrR\VP^d,4p\P!VP4pWE,e\WE,4pM\p\P!VVVR7Vn\ V,\"V,,\$V,,p W,fV \&,p VP(R8Xd V ^,p MVP(R8Xd V ^,p \+^\-^d\V 444VnEK& V#)zpCompute scores for Reddit items. Args: items: List of Reddit items Returns: Items with updated scores N relevancerecencyrlowmed) top_commentsr!r8r'rr@ enumeraterrGr recency_scoredateDEFAULT_ENGAGEMENTr SubScoressubsWEIGHT_RELEVANCEWEIGHT_RECENCYWEIGHT_ENGAGEMENTUNKNOWN_ENGAGEMENT_PENALTYdate_confidencer7r6) rCeng_rawitem top_cmt_scoreeng_normalizedi rel_score rec_score eng_scoreoveralls & rscore_reddit_itemsr`osl  G     --a066M4T__mTU &g.NU#,- '' 2    (N-.I*I$$    y ( Y & '  ) *  :  1 1G   5 ( qLG  ! !U * qLGCS\23 K$N LrcV^8dQhR\\P,R\\P,/#rB)rrXItem)rs"rrrs,99fll+9V\\0B9rc V'gV#VUu.uFp\VP4NK pp\V4p\V4EF#wrA\ VP ^d,4p\ P!VP4pW4,e\ W4,4pM\p\P!VVVR7Vn \V,\V,,\V,,pW$,fV\ ,pVP"R8Xd V^,pMVP"R8Xd V^,p\%^\'^d\ V444VnEK& V#uupi)zfCompute scores for X items. Args: items: List of X items Returns: Items with updated scores rFrIrJ)r1rr@rLrrGrrMrNrOrrPrQrRrSrTrUrVr7r6r! rCrXrWrZr[r\r]r^r_s & r score_x_itemsresE  FKKUT'8UGK&g.NU#,- '' 2    (N-.I*I$$    y ( Y & '  ) *  :  1 1G   5 ( qLG  ! !U * qLGCS\23 K$N LYLsE/cpV^8dQhR\\P,R\\,/#r)r*)rs"rrrs*99x8I8I/J9xX]9rcVfR#VPfVPfR#\VP4p\VP4p\VP4pRV,RV,,RV,,#)uCompute raw engagement score for YouTube item. Formula: 0.50*log1p(views) + 0.35*log1p(likes) + 0.15*log1p(comments) Views dominate on YouTube — they're the primary discovery signal. Nrrr,viewsr-rr"rrir-r$s& rcompute_youtube_engagement_rawrks J$4$4$< z'' (E z'' (E*112H %<$, & 88rcV^8dQhR\\P,R\\P,/#rB)rr YouTubeItem)rs"rrrs0%%tF$6$67%DASAS5GQ%g.NU#,- '' 2   (N-.I*I$$    y ( Y & '  ) *  :  1 1GCS\23 1$4 L;RD8cpV^8dQhR\\P,R\\,/#r)r*)rs"rrr's*99hv7H7H.I9hW\o9rcVfR#VPfVPfR#\VP4p\VP4p\VP4pRV,RV,,RV,,#)uCompute raw engagement score for TikTok item. Formula: 0.50*log1p(views) + 0.30*log1p(likes) + 0.20*log1p(comments) Views dominate on TikTok — they're the primary discovery signal. Nrr 皙?rhrjs& rcompute_tiktok_engagement_rawru'rlrcV^8dQhR\\P,R\\P,/#rB)rr TikTokItem)rs"rrr:s0%%d6#4#45%$v?P?P:Q%rc zV'gV#VUu.uFp\VP4NK pp\V4p\V4FwrA\ VP ^d,4p\ P!VP4pW4,e\ W4,4pM\p\P!VVVR7Vn \V,\V,,\V,,pW$,fV\ ,p\#^\%^d\ V444VnK V#uupi)zlCompute scores for TikTok items. Uses same weight structure as YouTube (relevance + recency + engagement). rF)rurr@rLrrGrrMrNrOrrPrQrRrSrTrUr7r6r!rds & rscore_tiktok_itemsry:s  JOP%$,T__=%GP%g.NU#,- '' 2   (N-.I*I$$    y ( Y & '  ) *  :  1 1GCS\23 1$4 L;QrqcpV^8dQhR\\P,R\\,/#r)r*)rs"rrrbs,99&:K:K1L9QYZ_Q`9rcVfR#VPfVPfR#\VP4p\VP4p\VP4pRV,RV,,RV,,#)uCompute raw engagement score for Instagram item. Formula: 0.50*log1p(views) + 0.30*log1p(likes) + 0.20*log1p(comments) Views dominate on Instagram Reels — they're the primary discovery signal. Nrr rtrhrjs& r compute_instagram_engagement_rawr|brlrcV^8dQhR\\P,R\\P,/#rB)rr InstagramItem)rs"rrrus0%%f&:&:!;%VEYEY@Z%rc zV'gV#VUu.uFp\VP4NK pp\V4p\V4FwrA\ VP ^d,4p\ P!VP4pW4,e\ W4,4pM\p\P!VVVR7Vn \V,\V,,\V,,pW$,fV\ ,p\#^\%^d\ V444VnK V#uupi)znCompute scores for Instagram items. Uses same weight structure as TikTok (relevance + recency + engagement). rF)r|rr@rLrrGrrMrNrOrrPrQrRrSrTrUr7r6r!rds & rscore_instagram_itemsrus  MRSUT/@UGS%g.NU#,- '' 2   (N-.I*I$$    y ( Y & '  ) *  :  1 1GCS\23 1$4 L;TrqcpV^8dQhR\\P,R\\,/#r)r*)rs"rrrs,++(6;L;L2M+RZ[`Ra+rcVfR#VPfVPfR#\VP4p\VP4pRV,RV,,#)zCompute raw engagement score for Hacker News item. Formula: 0.55*log1p(points) + 0.45*log1p(num_comments) Points are the primary signal on HN; comments indicate depth of discussion. Nr r)r!r"r)rpointsr$s& r!compute_hackernews_engagement_rawrsZ J$;$;$C  (( )F*112H &=4(? **rcV^8dQhR\\P,R\\P,/#rB)rrHackerNewsItem)rs"rrr0%%$v'<'<"=%$vG\G\B]%rc zV'gV#VUu.uFp\VP4NK pp\V4p\V4FwrA\ VP ^d,4p\ P!VP4pW4,e\ W4,4pM\p\P!VVVR7Vn \V,\V,,\V,,pW$,fV\ ,p\#^\%^d\ V444VnK V#uupi)zrCompute scores for Hacker News items. Uses same weight structure as Reddit/X (relevance + recency + engagement). rF)rrr@rLrrGrrMrNrOrrPrQrRrSrTrUr7r6r!rds & rscore_hackernews_itemsr  NSTed0AeGT%g.NU#,- '' 2   (N-.I*I$$    y ( Y & '  ) *  :  1 1GCS\23 1$4 L;UrqcpV^8dQhR\\P,R\\,/#r)r*)rs"rrrs,,,(6;L;L2M,RZ[`Ra,rc VfR#VPfVPfR#\P!VP;'g^4p\P!VP;'g^4pRV,RV,,#)zCompute raw engagement score for Polymarket item. Formula: 0.60*log1p(volume) + 0.40*log1p(liquidity) Volume is the primary signal (money flowing); liquidity indicates market depth. Ng333333?g?)volume liquidityrr)rrrs& r!compute_polymarket_engagement_rawrss  Z%9%9%A ZZ ))..Q /F ://4415I &=4)+ ++rcV^8dQhR\\P,R\\P,/#rB)rrPolymarketItem)rs"rrrrrc zV'gV#VUu.uFp\VP4NK pp\V4p\V4FwrA\ VP ^d,4p\ P!VP4pW4,e\ W4,4pM\p\P!VVVR7Vn \V,\V,,\V,,pW$,fV\ ,p\#^\%^d\ V444VnK V#uupi)zqCompute scores for Polymarket items. Uses same weight structure as Reddit/X (relevance + recency + engagement). rF)rrr@rLrrGrrMrNrOrrPrQrRrSrTrUr7r6r!rds & rscore_polymarket_itemsrrrqcV^8dQhR\\P,R\\P,/#rB)rr WebSearchItem)rs"rrrs066f&:&:!;6VEYEY@Z6rc V'gV#VFp\VP^d,4p\P!VP4p\ P !VV^R7Vn\V,\V,,pV\,pVPR8XdV\, pMVPR8XdV\,p\^\^d\V444VnK V#)aCompute scores for WebSearch items WITHOUT engagement metrics. Uses reweighted formula: 55% relevance + 45% recency - 15pt source penalty. This ensures WebSearch items rank below comparable Reddit/X items. Date confidence adjustments: - High confidence (URL-verified date): +10 bonus - Med confidence (snippet-extracted date): no change - Low confidence (no date signals): -20 penalty Args: items: List of WebSearch items Returns: Items with updated scores rFhighrI)rrGrrMrNrrPrQWEBSEARCH_WEIGHT_RELEVANCEWEBSEARCH_WEIGHT_RECENCYWEBSEARCH_SOURCE_PENALTYrVWEBSEARCH_VERIFIED_BONUSWEBSEARCH_NO_DATE_PENALTYr7r6r!)rCrXr\r]r_s& rscore_websearch_itemsrs"  ,- '' 2 $$   ' 2 $y 0 1  ++   6 ) / /G  ! !U * 0 0GCS\23 AD Lrc DV^8dQhR\\\P\P\P \P \P\P\P\P3,,R\/#rB) rrrrDrbrrnrwr~rr)rs"rrrJs('('d5!2!2FLL&BVBVX^XjXjlrl}l}@F@T@TV\VkVkmsmBmB"BCD('IM('rc Rp\WR7#)zSort items by score (descending), then date, then source priority. Args: items: List of items to sort Returns: Sorted items cVP)pVP;'gRp\VPRR44)p\ V\ P 4'd^pM\ V\ P4'd^pM\ V\ P4'd^pM\ V\ P4'd^pMk\ V\ P4'd^pMH\ V\ P4'd^pM%\ V\ P4'd^pM^p\VRR4;'g\VRR4pWWE3#)z 0000-00-00-titletext)r!rNrreplace isinstancerrDrbrnrwr~rrgetattr)rXr!rNdate_keysource_priorityrs& rsort_keysort_items..sort_keySs yy((L S"-.. dF-- . .O fll + +O f00 1 1O f// 0 0O f22 3 3O f33 4 4O f33 4 4OOtWb)FFWT62-F77r)key)sorted)rCrs& r sort_itemsrJs8> % &&r)N)2)%__doc__rtypingrrrrrrrRrSrTrrrrrrOrUrr'r1r@r`rerkrpruryr|rrrrrrrrrrs4 (("J2J&B>B9x9&%P9&%P9&%P+$%P,$%P6r('r